A comparative investigation of eight recent population-based optimisation algorithms for mechanical and structural design problems
Nowadays, designing of light-weight components is a very critical issue needed to be solved in industry. Different optimisation techniques have been developed to design light-weight components. In this research, a comparison of population-based optimisation algorithms for optimal design is presented. Additionally, a hybrid interior search-hill climbing algorithm is developed for optimising mechanical and structural design problems such as tension spring problem, welded beam problem, pressure vessel problem and optimal design of a vehicle sliding door hinge. It is shown that the result of the hybrid interior search algorithm (H-ISA) is better than gravitational search algorithm (GSA), ant lion optimiser (ALO), firefly algorithm (FFA), bat algorithm (BAT), league championship algorithm (LCA), symbiotic organisms search (SOS), imperialist competitive algorithm (ICA) and charged system search algorithm (CSS).
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- Find a library where document is available. Order URL: http://worldcat.org/issn/14775360
- Copyright © 2017 Inderscience Enterprises Ltd.
- Yıldız, Betül Sultan
- Publication Date: 2017
- Media Type: Web
- Features: References;
- Pagination: pp 208-218
- TRT Terms: Algorithms; Lightweight materials; Mechanical engineering; Optimization; Population; Structural design; Vehicle components; Vehicle design
- Subject Areas: Design; Highways; Vehicles and Equipment;
- Accession Number: 01634003
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 13 2017 9:14AM